A New Automatic Cancer Colony Forming Units Counting Method

Nicolás Roldán-fajardo, Lizeth Rodriguez-Ramos, Andrea Hernandez, Karen Cepeda-Forero, Alejandro Ondo-Méndez, Sandra cancino-Suarez, Manuel Forero, Juan Manuel López-López

Resultado de la investigación: Contribución a Revista

Resumen

Clonogenic assays are an essential tool to evaluate the survival of cancer cells that have been exposed to a certain dose of radiation. Its result can be used in the generation of strategies for the optimization of radiotherapy treatments. The analysis of this type of data requires that the specialist performs the manual counting of colony forming units (CFU), i.e., find every cell that retains the ability to produce a large progeny. This task is time consuming, prone to errors and the results are not reproducible due to specialist subjective assessment. Digital image processing tools can deal with the flaws described above. This article presents a new technique for automatic CFU counting. The proposed technique extracts the regions of interest (ROIs), where a local segmentation algorithm finds and labels the cells in order to quantify number of CFUs. Results show good sensitivity and specificity performance compared to state-of-the-art software used for CFU detection and counting.
Idioma originalEnglish
Páginas (desde-hasta)465-472
Número de páginas7
PublicaciónLecture Notes in Computer Science
Volumen11868
DOI
EstadoPublished - sep 21 2019

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Roldán-fajardo, N., Rodriguez-Ramos, L., Hernandez, A., Cepeda-Forero, K., Ondo-Méndez, A., cancino-Suarez, S., ... López-López, J. M. (2019). A New Automatic Cancer Colony Forming Units Counting Method. Lecture Notes in Computer Science, 11868, 465-472. https://doi.org/10.1007/978-3-030-31321-0_40
Roldán-fajardo, Nicolás ; Rodriguez-Ramos, Lizeth ; Hernandez, Andrea ; Cepeda-Forero, Karen ; Ondo-Méndez, Alejandro ; cancino-Suarez, Sandra ; Forero, Manuel ; López-López, Juan Manuel. / A New Automatic Cancer Colony Forming Units Counting Method. En: Lecture Notes in Computer Science. 2019 ; Vol. 11868. pp. 465-472.
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title = "A New Automatic Cancer Colony Forming Units Counting Method",
abstract = "Clonogenic assays are an essential tool to evaluate the survival of cancer cells that have been exposed to a certain dose of radiation. Its result can be used in the generation of strategies for the optimization of radiotherapy treatments. The analysis of this type of data requires that the specialist performs the manual counting of colony forming units (CFU), i.e., find every cell that retains the ability to produce a large progeny. This task is time consuming, prone to errors and the results are not reproducible due to specialist subjective assessment. Digital image processing tools can deal with the flaws described above. This article presents a new technique for automatic CFU counting. The proposed technique extracts the regions of interest (ROIs), where a local segmentation algorithm finds and labels the cells in order to quantify number of CFUs. Results show good sensitivity and specificity performance compared to state-of-the-art software used for CFU detection and counting.",
author = "Nicol{\'a}s Rold{\'a}n-fajardo and Lizeth Rodriguez-Ramos and Andrea Hernandez and Karen Cepeda-Forero and Alejandro Ondo-M{\'e}ndez and Sandra cancino-Suarez and Manuel Forero and L{\'o}pez-L{\'o}pez, {Juan Manuel}",
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Roldán-fajardo, N, Rodriguez-Ramos, L, Hernandez, A, Cepeda-Forero, K, Ondo-Méndez, A, cancino-Suarez, S, Forero, M & López-López, JM 2019, 'A New Automatic Cancer Colony Forming Units Counting Method', Lecture Notes in Computer Science, vol. 11868, pp. 465-472. https://doi.org/10.1007/978-3-030-31321-0_40

A New Automatic Cancer Colony Forming Units Counting Method. / Roldán-fajardo, Nicolás; Rodriguez-Ramos, Lizeth; Hernandez, Andrea; Cepeda-Forero, Karen; Ondo-Méndez, Alejandro; cancino-Suarez, Sandra; Forero, Manuel; López-López, Juan Manuel.

En: Lecture Notes in Computer Science, Vol. 11868, 21.09.2019, p. 465-472.

Resultado de la investigación: Contribución a Revista

TY - JOUR

T1 - A New Automatic Cancer Colony Forming Units Counting Method

AU - Roldán-fajardo, Nicolás

AU - Rodriguez-Ramos, Lizeth

AU - Hernandez, Andrea

AU - Cepeda-Forero, Karen

AU - Ondo-Méndez, Alejandro

AU - cancino-Suarez, Sandra

AU - Forero, Manuel

AU - López-López, Juan Manuel

PY - 2019/9/21

Y1 - 2019/9/21

N2 - Clonogenic assays are an essential tool to evaluate the survival of cancer cells that have been exposed to a certain dose of radiation. Its result can be used in the generation of strategies for the optimization of radiotherapy treatments. The analysis of this type of data requires that the specialist performs the manual counting of colony forming units (CFU), i.e., find every cell that retains the ability to produce a large progeny. This task is time consuming, prone to errors and the results are not reproducible due to specialist subjective assessment. Digital image processing tools can deal with the flaws described above. This article presents a new technique for automatic CFU counting. The proposed technique extracts the regions of interest (ROIs), where a local segmentation algorithm finds and labels the cells in order to quantify number of CFUs. Results show good sensitivity and specificity performance compared to state-of-the-art software used for CFU detection and counting.

AB - Clonogenic assays are an essential tool to evaluate the survival of cancer cells that have been exposed to a certain dose of radiation. Its result can be used in the generation of strategies for the optimization of radiotherapy treatments. The analysis of this type of data requires that the specialist performs the manual counting of colony forming units (CFU), i.e., find every cell that retains the ability to produce a large progeny. This task is time consuming, prone to errors and the results are not reproducible due to specialist subjective assessment. Digital image processing tools can deal with the flaws described above. This article presents a new technique for automatic CFU counting. The proposed technique extracts the regions of interest (ROIs), where a local segmentation algorithm finds and labels the cells in order to quantify number of CFUs. Results show good sensitivity and specificity performance compared to state-of-the-art software used for CFU detection and counting.

U2 - 10.1007/978-3-030-31321-0_40

DO - 10.1007/978-3-030-31321-0_40

M3 - Artículo de la conferencia

VL - 11868

SP - 465

EP - 472

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

SN - 0302-9743

ER -

Roldán-fajardo N, Rodriguez-Ramos L, Hernandez A, Cepeda-Forero K, Ondo-Méndez A, cancino-Suarez S y otros. A New Automatic Cancer Colony Forming Units Counting Method. Lecture Notes in Computer Science. 2019 sep 21;11868:465-472. https://doi.org/10.1007/978-3-030-31321-0_40